I n the management of symptomatic axial spondyloarthritis (axSpA), it is important to accurately monitor current disease activity and the extent of structural damage (1). Recent European League Against Rheumatism recommendations on the use of MRI in patients with axSpA show that this imaging modality should be considered for use in the detection of both subchondral bone marrow edema and structural lesions (2-4). Although MRI is especially capable of directly depicting bone marrow edema not detected with other imaging modalities, it is more time consuming and expensive than would be reasonable for routine use (5-7). Although conventional CT is generally regarded as a more reliable method with which to detect structural sacroiliac joint lesions, such as minute erosions, and although it is relatively affordable, highly available, and requires shorter examination times than MRI, it is not widely used because it cannot be used to assess bone marrow edema (2,8). Dual-energy CT is an imaging technique that enables detection of traumatic bone marrow edema (9-14) and plasma cell infiltration of bone marrow (15,16) with high sensitivity and specificity if the patients were examined with a dual-energy mode. Dual-energy CT acquires two CT data sets at different energy levels simultaneously, and it can subsequently quantify and remove the individual chemical elements, like calcium, from those data sets. Postprocessing software is then used to remove calcium in trabecular bone by using the virtual noncalcium subtraction process, thus creating virtual noncalcium (VNCa) images (9-12). Increased water content (edema) or cellular components (multiple myeloma or bone metastases) in the bone marrow can be seen on VNCa images. We hypothesized that dual-energy CT with visual analysis of color-coded images and quantitative regionof-interest (ROI)-based density measurements could enable detection of sacroiliac joint bone marrow edema in participants with axSpA, with precision comparable to that of MRI. Thus, the purpose of our study was to determine the diagnostic performance of a dual-energy CT VNCa technique in the detection and depiction of the